{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "import os\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  ###防止无法显示中文并设置黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  ###用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>RMM1</th>\n",
       "      <th>RMM2</th>\n",
       "      <th>phase</th>\n",
       "      <th>amplitude</th>\n",
       "      <th>final_values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.634470</td>\n",
       "      <td>1.203040</td>\n",
       "      <td>5</td>\n",
       "      <td>2.029480</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1.602890</td>\n",
       "      <td>1.015120</td>\n",
       "      <td>5</td>\n",
       "      <td>1.897290</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>1.516250</td>\n",
       "      <td>1.085510</td>\n",
       "      <td>5</td>\n",
       "      <td>1.864760</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1.509810</td>\n",
       "      <td>1.035730</td>\n",
       "      <td>5</td>\n",
       "      <td>1.830920</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1.559060</td>\n",
       "      <td>1.305180</td>\n",
       "      <td>5</td>\n",
       "      <td>2.033260</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17460</th>\n",
       "      <td>17460</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>1.058647</td>\n",
       "      <td>-1.269627</td>\n",
       "      <td>3</td>\n",
       "      <td>1.653084</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17461</th>\n",
       "      <td>17461</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>1.039455</td>\n",
       "      <td>-0.817596</td>\n",
       "      <td>4</td>\n",
       "      <td>1.322471</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17462</th>\n",
       "      <td>17462</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>0.981937</td>\n",
       "      <td>-0.722337</td>\n",
       "      <td>4</td>\n",
       "      <td>1.219004</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17463</th>\n",
       "      <td>17463</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>0.900615</td>\n",
       "      <td>-0.630580</td>\n",
       "      <td>4</td>\n",
       "      <td>1.099426</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17464</th>\n",
       "      <td>17464</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>0.488374</td>\n",
       "      <td>-0.406457</td>\n",
       "      <td>4</td>\n",
       "      <td>0.635386</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17465 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  year  month  day      RMM1      RMM2  phase  amplitude  \\\n",
       "0               0  1974      6    1  1.634470  1.203040      5   2.029480   \n",
       "1               1  1974      6    2  1.602890  1.015120      5   1.897290   \n",
       "2               2  1974      6    3  1.516250  1.085510      5   1.864760   \n",
       "3               3  1974      6    4  1.509810  1.035730      5   1.830920   \n",
       "4               4  1974      6    5  1.559060  1.305180      5   2.033260   \n",
       "...           ...   ...    ...  ...       ...       ...    ...        ...   \n",
       "17460       17460  2022      3   21  1.058647 -1.269627      3   1.653084   \n",
       "17461       17461  2022      3   22  1.039455 -0.817596      4   1.322471   \n",
       "17462       17462  2022      3   23  0.981937 -0.722337      4   1.219004   \n",
       "17463       17463  2022      3   24  0.900615 -0.630580      4   1.099426   \n",
       "17464       17464  2022      3   25  0.488374 -0.406457      4   0.635386   \n",
       "\n",
       "                          final_values  \n",
       "0       Final_value:__OLR_&_NCEP_winds  \n",
       "1       Final_value:__OLR_&_NCEP_winds  \n",
       "2       Final_value:__OLR_&_NCEP_winds  \n",
       "3       Final_value:__OLR_&_NCEP_winds  \n",
       "4       Final_value:__OLR_&_NCEP_winds  \n",
       "...                                ...  \n",
       "17460  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17461  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17462  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17463  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17464  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "\n",
       "[17465 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据\n",
    "df = pd.read_csv('../../data/pythonhomework6csv.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 把异常值替换成0\n",
    "df['RMM1']=df['RMM1'].replace(df['RMM1'].max(),0)\n",
    "df['RMM2']=df['RMM2'].replace(df['RMM2'].max(),0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用hist绘出mjo的rmm1的分布情况\n",
    "RMM1=df['RMM1']\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1, 1)\n",
    "ax.hist(RMM1)\n",
    "ax.set_title('hist图')\n",
    "if not os.path.exists('../../picture/Pythonhome/8'):\n",
    "    os.makedirs('../../picture/Pythonhome/8')\n",
    "plt.savefig('../../picture/Pythonhome/8/hist.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用boxplot画出MJO的八个位相下振幅的统计分布\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1,1)\n",
    "for i in np.arange(1,9,1):\n",
    "    num=df['amplitude'].loc[df['phase']==i]\n",
    "    ax.boxplot(num,positions=[i])\n",
    "ax.set_title('MJO八个位相的统计分布-boxplot图')\n",
    "fig.savefig('../../picture/Pythonhome/8/boxplot.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiEAAAF+CAYAAABUJ8o4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAUMElEQVR4nO3de4yld33f8c93Z22vL13baxxjWodeSKwGghvLBUwIcQtGBlVUxZW2CcJ1irpIpSgVlUIQbZVAUzWNRFpR4XrbRKAolGtvoWpwgzF2U1wwRiD3AihgoJDFJN71jeBdZn/9Y46zs9vdmbV9zvM9M/t6SSudOefM+X3n2dkz733O85ypMUYAAKa2o3sAAODMJEIAgBYiBABoIUIAgBYiBABoIUIAgBYiBDilqrq5qt5zitv+RVXtfZqP//NV9VBVHaqqv3+K+9xfVX96dvneqvpCVd2zwZ9vP52ZgOns7B4A2JrGGD97uvetqouS3DzG+Ofrrrs2yU8l+bEku5LcXVUfHGN8Y4OHOpLkNWOM+6vqxUn+YZJXjdkbHlXVziT3P8kvBWhiTwgwhYuS/L0Trvtukp8eY3xljPG/shYPz9rkcY4kSVVdmORfJ7k0yWeq6tGqeuPsPt+f08zAgokQYDNnVdVvVtUfVtVHqqqSpKreU1U3r79jVf1iVX2rqn6/qv7O7Lr3JflMkiuq6kBV/XaSjDE+P8b4n7P7PCvJFUnuq6odVXXL7DF+M8lZJ8yzkuS3kjyY5LYkb09ye5JbFvT1AwsiQoDN3Jjk/UmeneTHk/yFk92pqvYkeWuS5yZ5XpKXJckY46eT/MUk3xhjPHOMccNJPv2Xktw6xngsyV9PcnWSP5Pk3+X/3zuymuRNSf5G1l7OeX+SXx1jHH3qXyLQwTEhwGbuGWP8VpJU1ReTXHiK+z2U5ItJfjXJbyf5m6fz4FX1yiQvybG4eXGSD48xvpfkI1V16IRPuSLJL8wuvy/J7yZ5Q1XtT/J3T2dNYDnYEwJs5vfWXT7lb7wcY6xmbY/Hh5P8ZJLPVdXZGz1wVV2R5N8kee1sL0iS1AnrnLiH4xtJbkry8qxFzz9JcmeSa5LcscnXAiwREQJs5rR+1XZV/XCSj8/+vCXJM5NcMrv5D5NcUlXnzf6cW1XnJPlPSX5ljPHpdQ/16SSvqapzquqvJtmzfpkkGWN8M8nPZW3Px0eSfHKM8VDWXqqpp/h1AhMTIcBcjDG+lOSuJF9N8qUk/3KM8fuz2x5J8stZ26vy1SSXJ7khay/B/PzsgNUDVfXE8Sf/O8nXk/ytJAfWLfPHB6mOMX45yV9J8miSK9fdx8vMsEXU7PR6gKVXVfdm7T1FDm9wt8vHGJdNNBLwNIgQYMuoqkuSHJodfwJscSIEAGjhmBAAoIUIAQBaiBAAoMXSncp2dp0zduX87jEAgDl4JAf/YIxx6cluW7oI2ZXz88J6WfcYAKetVla6R5iLseqkI+bvd8aHv3aq27wcAwC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQAsRAgC0ECEAQIud3QMAT06trHSPMBe186zuEeZmrK52jzAXO87eHt9bRw8f7h6B02RPCADQQoQAAC1ECADQQoQAAC0mi5Cq2lNV11fVM6ZaEwBYXpNESFVdnOSjSV6Q5BNVdekU6wIAy2uqU3Sfn+TNY4y7Z0FydZKPTbQ2ALCEJtkTMsb45CxAXpq1vSGfWn97Ve2rqnuq6p4jeXyKkQCAZlMeE1JJ9iY5mOTI+tvGGPvHGNeMMa45K+dMNRIA0GiyCBlr3pjkC0lePdW6AMBymurA1LdU1U2zDy9KcmiKdQGA5TXVnpD9SV5XVXcmWUly20TrAgBLapKzY8YYB5NcP8VaAMDW4B1TAYAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWO7sHgKnsOGdX9whzseNPXd49wlyMc8/uHmFudjz8WPcIczEeeqR7hLmo1dXuEeZibJOvYyP2hAAALUQIANBChAAALUQIANBChAAALUQIANBChAAALUQIANBChAAALUQIANBChAAALUQIANBChAAALUQIANBChAAALUQIANBi5xSLVNWFSd6fZCXJY0n2jjEOT7E2ALCcptoT8tok7xxjvCLJgSQ3TLQuALCkJtkTMsZ497oPL03ywBTrAgDLa5IIeUJVXZvk4jHG3Sdcvy/JviTZlfOmHAkAaDJZhFTVniTvSnLjibeNMfYn2Z8ku2vPmGomAKDPJMeEVNXZST6U5K1jjK9NsSYAsNymOjD19UmuTvK2qrqjqvZOtC4AsKSmOjD1liS3TLEWALA1eLMyAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKDFpL875oxS26fvduw6p3uEudhx+WXdI8zFQz+2Pb6O7/7A9vk3cv6Bi7pHmIvdn/6/3SPMRX3v8e4R5mIc3Sa/xWSDL2P7PAsAAFuKCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKDFZBFSVZdV1V1TrQcALLdJIqSqLk7y3iTnT7EeALD8ptoTsppkb5KHJ1oPAFhyO6dYZIzxcJJU1Ulvr6p9SfYlya6cN8VIC1crK90jzM2Oy36ge4S5+M51l3ePMBcHr/+j7hHm4oLzv9c9wtw8/Ik93SPMxe4vnNM9wnyMo90TcJqW4sDUMcb+McY1Y4xrzso2+UcAAGxoKSIEADjziBAAoMWkETLGuG7K9QCA5WVPCADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC1ECADQQoQAAC02jZCqel5VPfOE635icSMBAGeCnRvdWFX/KskPJrmkqu5L8rNjjEeT/GKSvzzBfADANrXZnpDnjDFeNcZ4YZLbkny8qp47wVwAwDa34Z6QJCtV9cNjjC+NMT5QVZ9J8r4kV0wwGwCwjW22J+SmJK974oMxxleS3JDkNxY5FACw/W22J+Rnkhypqn90wvXfXdA8AMAZYrMIeVWS5yb5epJ7ktyb5L4kRxY8FwCwzW0YIWOMF1VVJXlOkpcnuTnJVUk+n+SFC58OANi2NjtF959mLTp2JvlWkn+b5OeSfHbxo21tO3ad0z3C3Dz2o5d1jzAX37n2+90jzMVXf/K93SPMxYs/f2P3CHPz/UOje4T5OHy4e4K5GKur3SPMxzjaPcHCbfZyzPq9HT+YtbNiXj372PuEAABP2WYRckeSJxK/FjsKAHAm2SxCbkjyvDgwFQCYs80OTL3WgakAwCI4MBUAaLHZyzEvmd3ncJJnZ+3A1L+WZE+SH13saADAdrZZhHwryaNJLkhyIMlXkrw+ye0LngsA2OY2i5A/Ocb48dlxIV9N8u4kPzHGOLTwyQCAbW2zCDm3qq7N2um5Dyb5b0l+pKoyxvjvC58OANi2NouQzyfZt+7y355dHkmeVIRU1a8l+ZEk/3mM8Y+fzOcCANvPZqfo/sw8Fqmq1yRZmZ3y++tV9UNjjC/P47EBgK1px0TrXJfkg7PLt2XtrJs/VlX7quqeqrrnSB6faCQAoNNUEXJ+km/OLj+Y5LjfiDbG2D/GuGaMcc1Z2T6/+A0AOLWpIuTRJOfOLl8w4boAwJKaKgY+m2MvwVyV5P6J1gUAltRmZ8fMy39IcldVPSvJK5O8aKJ1AYAlNcmekDHGw1k7OPXuJH9pjPHQFOsCAMtrqj0hGWMczLEzZACAM5wDRAGAFiIEAGghQgCAFiIEAGghQgCAFiIEAGghQgCAFiIEAGghQgCAFiIEAGghQgCAFiIEAGghQgCAFpP9Ft0npbZ+G9X553WPMDeHL9j6fx9JUmd9v3uEubjq0z/VPcJcrP6Pi7pHmJsr7j3UPcJcjAcPdY8wF2N1tXsETtP2+OkCAGw5IgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWIgQAaCFCAIAWC4+Qqrqsqu5a9DoAwNay0AipqouTvDfJ+YtcBwDYeha9J2Q1yd4kDy94HQBgi9k5zwerqluTXLnuqtvHGG+vqs0+b1+SfUmyK+fNcyQAYEnNNULGGG94ip+3P8n+JNlde8Y8ZwIAlpOzYwCAFiIEAGgxSYSMMa6bYh0AYOuwJwQAaCFCAIAWIgQAaDHXU3Q5Zhw50j3C3Fz4f7bHe82tPP4nukeYi7Fjd/cIc7H7iw92jzA/3/x29wRzsfrYd7tH4AxjTwgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtRAgA0EKEAAAtdnYPsF2Nx/6oe4S5qS9/vXuEudj9nQu7R5iPw4e7J5iLow890j3C3Bx9/HvdI8CWtNAIqaoLk7w/yUqSx5LsHWNsj2dQAOBpWfTLMa9N8s4xxiuSHEhyw4LXAwC2iIXuCRljvHvdh5cmeWCR6wEAW8dcI6Sqbk1y5bqrbh9jvL2qrk1y8Rjj7lN83r4k+5JkV86b50gAwJKaa4SMMd5w4nVVtSfJu5LcuMHn7U+yP0l2154xz5kAgOW00GNCqursJB9K8tYxxtcWuRYAsLUs+sDU1ye5OsnbquqOqtq74PUAgC1i0Qem3pLklkWuAQBsTd4xFQBoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABoIUIAgBYiBABosbN7gJMaR7sneNqOHj7cPcLc1Opq9wjzceCB7gnmYmyXv49t8O8ceHrsCQEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKCFCAEAWogQAKDFwiOkqvZU1fVV9YxFrwUAbB0LjZCqujjJR5O8IMknqurSRa4HAGwdOxf8+M9P8uYxxt2zILk6yccWvCYAsAUsdE/IGOOTswB5adb2hnxqkesBAFvHXPeEVNWtSa5cd9XtSd6RZG+Sg0mOnOLz9iXZlyS7ct48RwIAllSNMaZZqOodSe4bY3xgo/vtrj3jhfWySWZaqNo+Jx7Vykr3CKwzVle7R5iPcbR7AmACvzM+/NkxxjUnu23RB6a+papumn14UZJDi1wPANg6Fv3f9f1JXldVdyZZSXLbgtcDALaIhZ4dM8Y4mOT6Ra4BAGxN2+fABQBgSxEhAEALEQIAtBAhAEALEQIAtBAhAEALEQIAtBAhAEALEQIAtBAhAEALEQIAtKgxRvcMx6mq7yT5WvccSZ6R5A+6h1gitscxtsXxbI9jbIvj2R7HnMnb4tljjEtPdsPSRciyqKp7xhjXdM+xLGyPY2yL49kex9gWx7M9jrEtTs7LMQBACxECALQQIae2v3uAJWN7HGNbHM/2OMa2OJ7tcYxtcRKOCQEAWtgTsoGq2lNV11fVM7pnAWBr8rPk1ETIKVTVxUk+muQFST5RVSc9vehMUFUXVtV/qarbqurfV9XZ3TN1qqrLququ7jlYLr4v1ni+OJ6fJRsTIaf2/CRvHmP8UpKPJbm6eZ5Or03yzjHGK5IcSHJD8zxtZk8o701yfvcsy6Cqfq2qPlVV/6B7lk6+L47j+eJ4fpZsQIScwhjjk2OMu6vqpVkr2E91z9RljPHuMcZ/nX14aZIHOudptppkb5KHuwfpVlWvSbIyxrg2yZ+tqh/qnqmR74sZzxfH87NkYzu7B1gWVXVrkivXXXV7kndk7YnlYJIjHXN1ONm2GGO8vaquTXLxGOPuptEmt8G26BppmVyX5IOzy7cleUmSL7dN02iM8XCS+L445kx8vjiVWvvGOON+lpwOETIzxnjDKW56Y1W9I8mrk3xgwpHanGxbVNWeJO9KcuP0E/XZ4PuCtZcevjm7/GDsZmbmTH2+OJWxdhrqGfez5HR4OeYUquotVXXT7MOLkhzqm6bX7MCyDyV56xhjGX6vD8vh0STnzi5fEM8nxPPFifws2ZgnjVPbn+R1VXVnkpWs7W4+U70+a//LfVtV3VFVe7sHYil8NmsvwSTJVUnu7xuFJeL54nh+lmzAm5UBT0lV7U5yV5KPJ3llkheNMR7qnQrYSkQI8JTNTk29PsmdY4wD3fMAW4sIAQBaOCYEAGghQgCAFiIEmLuqek9VfW72lu4fqqrfrap/Nrvt7qr6hdmZE8ddN7v856vqPzaOD0xEhACL8qbZW7o/mrU3RryqqnYked66+xx3XVX9uSS/kuTCqYcFpidCgIWZvV31BUkOZy1EnpPk6+vucuJ1j8S7bMIZQ4QAi/KurL2B2beTHE3yrSQvz9qbnD3huOvGGA+MMR6fdkygiwgBFuVNSW5J8ntJRpLPJbk5yb3r7nOy64AzhAgBFunWrL2N90rWQuOqJPetu/1k1wFnCBECLMwY42CS25NckrXg+EKO/1XmJ7sOOEN4x1QAoIU9IQBACxECALQQIQBACxECALQQIQBACxECALQQIQBAi/8H7SvsKkXUa4gAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用hexbin绘出MJO的rmm2指数与rmm1指数相差15天的二维直方图\n",
    "RMM1=df['RMM1'].loc[:17449]\n",
    "RMM2=df['RMM2'].loc[15:]\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1,1)\n",
    "ax.hist2d(RMM1,RMM2)\n",
    "ax.set_xlabel('RMM1')\n",
    "ax.set_ylabel('RMM2')\n",
    "ax.set_title('hist2d图')\n",
    "fig.savefig('../../picture/Pythonhome/8/hexbin.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出MJO八个位相分布的饼状图\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1,1)\n",
    "num=[]\n",
    "for i in np.arange(1,9,1):\n",
    "    num.append(len(df[df['phase']==i]))\n",
    "ax.pie(num,labels=['1','2','3','4','5','6','7','8'],autopct='%1.1f%%')\n",
    "ax.set_title('MJO八个位相的-pie图')\n",
    "fig.savefig('../../picture/Pythonhome/8/pie.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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b6q8q68pKkX4gch8ia4LUt/EmthBVbZ1VbXnMKqaQQCRpCrgSWAg8BRwLbAFWADdExLn5eBcPMqwntxBZE3gbT09q68yByRquqBaiE4ALIuIWSVuA44CFEbFK0iWSlgOHDDIsIu7vOafZFqLUKh+zYaR+sGpiC1GRUt8ezCqokEAUEZtbXu4P/CbwJ/nrm4EjgDcCVw8wbE4gkrQeWA8wvWzZnDAUa9KufLXtprIXwarGgd9aeXuwdg7J81ZoHyJJq4AlwPeBh/PBjwOHAYsGHDZHRGwFtgKsXL485szXgaK+yt7pfZXZaJraQpT6ejOrCElLgV8G/jYiHitiHoUFonzhNwLHAKcDe+dvLQYWAE8OOMzGxZXzcIZ9nppZK+9vZmMhaQnwl8ANwAWSjgI+y4D9jSUdAGyLiDf2Gq+oTtV7AdcAZ0bEA5LuIjv9tR04FLgP+MGAw3p76CE47bQCvoVZhUwqnPkZcs2S6qk3h82meT1wekRsz8PRUQzX3/hz7Gps6aqoFqKTyE53nSXpLOBS4IOSDgTWAocDAdw2wLDeDjoILrywkC9hVhnextMzaNjodXBPNbAULZVyaUpw22ef+f2Y2rRpP0l3tgzZmneNASAivgEg6a3Am4ClDNDfOJ/mKLKr3R/ptxhFdareQnaZfetCfQU4Gjg/ImbyYasHGdaT70Nkk+Q+RKNxH6K5Zg/qqRzcbXiTXrfp1hOPRcTKXiNIEtktfJ4gazzp2984P1v1KeDXgOv6LcTEbswYEU+wK9ENNawn34eoXOnugGbF6rdveN8xG1hEBHCKpHOA9wMX5W/16m/8SWBzRPw4y1O9pX+nauvPFa/Z5JXxQ63fvu4fj7tz3ZgESZ8AfhgRfwHsS9ahepD+xm8HjpJ0CvAGSZ+PiA93m48DURN0qwRdGaRj3bpd68sHtTRUcf+q4jKZ9bcVuFrSh4HvkJ3++mZrf2NJK4DjI+Ls2Yki4q2zf0u6tVcYgjoEIvchsiZo3caL3t4duOrP67i6fDybI+9Kc3TrsA79jWeAs+dMvOszVvebT/qByH2I6s2VQ8bbeHq8zmxYru8GNnR/4wGkH4i6tRC5MqqHca1HVzRmNg6uS2or/UBUxxYi73DWLvVtoqmX3Vv91O14M2vTprKXoHTpByL3ITIzM7N5Sj8QmTXBOB7d4cdyTFYKP9Tq2tphNgIHIrMUOMykx2HDLCkORGbgg5eZWcM5EJnB4Kc33DnYzKyWHIjMzIqQQh+iqqhDC+0k1ncdyqnCHIjMzIrgg1ezpLC+HdJ7Sj8Q1fE+RDZergSsDE3a7squgwct67KXc1yatG1NUPqByKyfulSCRXDZFMdlO17jCAEOEtZD+oHIN2a0Sapbp+pJ7Tt1K7dBuF7qzYHRKib9QGRm3flZcOXxAX+8XJ7F8qM7HIjMas1Bpjx1KnuHEWuA9ANREZ2q61SRWT34gJQerzOzpKQfiIrgiqxYDpzDG6TMJrHdjrru3IfIzCou/UA0NUWsaWBlWxBtu6n4mThwDq8qZVaV5UiBy8pS4j5ENQhEMzOTOYhbOor8Zd7Elg6zunHrnXWQfiByC5G1K3B7UGGfbGYT49a7udxCVINA5BYim6QyW4haf9W6QjczG6v0A5FZq6KbwssMRA5BZmaFST8Q+U7Vadq2rewlSEvq27j7XplZxaUfiPxw1zR5nQ3H5WVmVqj0A5E126RbTspq6Rj1ezpImZkNxIHI0jbIAT/1003gYNN0ddiGrbd167yeS+ZAZP15Jy1f6uugiX2IUl9n3TicF8cPYy5VoYFI0gHAtRFxpKRXAJuAfYA7IuLjkpYAVwDLgLsi4uR8uouBFcANEXFukctoA6hCBdj0HbwK68CG43VmZRll2/N9iIoLRHnYuQxYlA86DzgnIrZLukrSauD1wBURcYWkL0paCUwDCyNilaRLJC2PiPu7zshXmVkTpL6NN7GFyMySUmQL0U7gWOD6/PXBwN35348CU8CPgNdJ2hc4CHgIOBG4Oh/vZuAIYLdAJGk9sB5getky/xKz+vM2bmZWqMICUUTsAJCef9jBtcAGSduBNcCZwIuBdwKnAd8FHidrUXo4n+Zx4LAOn70V2AqwcvnyKOo7WA2Mu2UltavMqsItRJnU12M3DuxWAxPrVB0R50o6AjgDuCwinpR0IfDRiNgh6XTgQ8CTwN75ZIuBBT0/2M8ys17msW1U6pEw4zjg1PVgnBIHh+ry/tF4k77K7B6yPkIfyF8vAQ7JW43eDHwNuIvsNNl24FDgvp6f6GeZjZcrhd7cQmRFqst6TjH4pbjM7eqy/ZRk0oHoDOCCiHg6f/0Z4FLgZcDtwJfIWoRuk3QgsBY4fMLL2FzemaqrDpW19ef1bPMxn+3HV5kVH4giYnXL3xva3rsDeG37NPkVaEcD50fETLFLWFMON2ZmZgOr5I0ZI+IJdl1pZqPwL00zM7OB9e6wbGZmZtYAlWwhMrM2w5wCdeugmdnQHIjMUtDtwY8OP2ZWc5KmgCuBhcBTwCeBC2h5FFif6TcDN0XEV3uNl34g8n2I5sW3LEiIw4+ZNdMJZFeo3yJpC9lV6etaHwUWEbd2mlDSkcBL+oUhqEMgsnlpUph0+DMzS09EbG55uT/wb5j7KLA5JO0JXATcKOk9EXF9p/FmpR+IfGNGa4LUb6PgR3eY1dfU1HzvgbSfpDtbhmzNH9G1G0mryG7ofC5zHwXWyYnAvcD5wKmSpiNiY7fFSD8QmZmZWcoei4iVvUaQtBTYCBwTEQ+0Pwqsy2RvJAtXj0i6HPh0/hkdORCZpcD9h6whqnYa32cgyidpL+Aa4MyIeCAffA+7Pwqsk+8Br8z/Xgk80GNcByKzuqnaAQVAZS9ACcaxHpp4MG7id7a+TgIOA86SdBawBVhBy6PAJK0Ajo+Is1umuxi4RNJxwJ7A+3vNxIHIrGYqeUBpYB+iSq4HswRFxBayENRrnHuBs9uG/QT49UHn40A0BlX8Rd4EPuCYJSb1iwOs1tIPRDMzpe9kap2/+3qkY5TtpqyWjtQPJA1sIbIOXD9Wl592X4NANN/L/ay5UtpuUlpWM7MEpR+IKtBCZA3iFqLRuIXIzCou/UDkFiJrAm/jZmaFSj8QmZmZWSb11uQSpR+I/HBXm6Cy7qeT+jbu+xCZ9TeWK2dHbU12p+oaBCI/y8wmqaS+MMlv4w3sQ5TKOnNw210q683GL/1A5BYim6AmtnRYvTkAmGXSD0RuIbJJSvkqM3fMtoT5h+9cPvaNV/qByC1EyfFOPLy4sOsDmpPglrV6cF07GNdxaUo/ELmFyBog+W28gX2I6ij57dCsh/QDkVuIkudK1upolHrJ+4JZedIPRA8+iE47teylGC/39TBLnsONWVrSD0TT08n3r5gvV7z1l3orqPsQpa3q25/rQBuH9AOR+xD15zuXjo/vQzQa9yFKWvLbn9kA0g9EDelDNK8KyafgzMzMeko/ELmFyMzMzOYp/UDUkBaiUTksmpVj0HrJ+6hZNaQfiNxCZGYV5HrJLC2FBiJJBwDXRsSRkl4BbAL2Ae6IiI+3jLcZuCkivpq/vhhYAdwQEef2nElNWohceZqZmZWnsEAkaQlwGbAoH3QecE5EbJd0laTVEXGrpCOBl7SEofcBCyNilaRLJC2PiPu7zsgtRDaKUa+8S/lZZmXyVWZmVnFFthDtBI4Frs9fHwzcnf/9KDAlaU/gIuBGSe+JiOuB1cDV+Xg3A0cAuwUiSeuB9QDTy5YV+BWstvpdeZd6ADEzs6EUFogiYgeA9Pwt2a4FNkjaDqwBzgROBO4FzgdOlTRN1qL0cD7N48BhHT57K7AVYOXy5VHUd7CCOGyYmVnFTKxTdUScK+kI4Azgsoh4UtIbga0R8Yiky4FPAw8Be+eTLQYWTGoZbUKqdl8kBzQzs8ab9FVm9wDTwAfy198DXpn/vRJ4APhbstNk24FDgfsmu4jWOFULaGZmNnGTDkRnABdExNP564uBSyQdB+wJvB/4CXCbpAOBtcDhE15GMzMza5jCA1FErG75e0Pbez8Bfr19GkmrgaOB8yNiptglNEvAunXjP7XnljEzs+dV8saMEfEEu640MzNwgDEzK5A7LJuZmVnjVbKFaCg1uVO1VYdv9GnjEGvWelsagsvLypZ+ICrwTtVNCVquhMyKMUod0tT9sanf26oj/UBUIO+gVhmp3yupgY/ucP1hlhYHIhtaU1rOOlH/UYrhDtVmZoVyILKhNfqXrx/uOpoGthCZWVociMwSEBduLHsR5qW0lrUSzbakNvoHhFlCHIjMEpD8QbWBLUTJrzOzhvF9iMzMzKzx3EJUA+Po5Oxfs2Zm1mTpByLfmHEsXIaDKasvTOrrp8l9iOrKP6JsUiRNAVcCC4GngI8ClwLLgLsi4uQu0y0Brug33qz0A1GBN2YsS50r0uTXVUl9YXTaqaXMd2w2pt0pfBTJb+tm1XECcEFE3CJpC3AscEVEXCHpi5JWRsSdHab74IDjAXUIRG4hSkoR62qSdyovrYXIV5klx/WSNcb8j8P7SWoNKlsjYuvsi4jY3PLe/sAPgF+QtC9wEPBQl8/9EfC6AcYD6hCIathCZNXQcbsqq4Uo9W3cV5kVwqGrOZKvA3p7LCJW9htJ0ipgCXA58BngNOC7wONdJvkW8M4BxgPqEIjcQtRINa8c5kh9G3cLkdn8NH17krQU2AgcA2wAPhoROySdDnwI2NphskHHA+oQiNxCZA2Q/DbuFqLklX1Arlt52uAk7QVcA5wZEQ/knaUPkbQdeDPwtS6TDjoeUIdA5BaiRnBlaFau1n2wjDrX9XyjnQQcBpwl6SzgJrKWnpcBtwNfkrQCOD4izm6Z7jNkV6M9P16vmaQfiNxCZGY2Ua5zKyD15xsOISK2AFvaBp/X9vpeoDUMERF3AK8ddD7pByK3ENWCK9jeUtvGvT7rbdLbo7enDtatG+/nbdo03s9LUPqB6MEHs3u0jHvjsGYY9leW70M0mgb2ISrFhFoN1KDWiYnodvxyOU9U+oFoairpMFTkLy3/qhpAKttOKstpw/EBr9kchCol/UA0MzO/jafkA41DS5uqVwRu6bBxctCtl2Hrr6rXdw2TfiBKvIXIcq4YrKkS/kFnuO6qkfQDUbcWIlcU5XIlYTYY11Vpq+L6c/07kvQD0fR08s95Kkuhp+uqWEnY0MbVx62Jd6q2inFIsD7SD0S+D1F6Uq6YSupDlNpl92aV4x9pnaVcH49Z+oHI5s87ROVp201pr6eNbsU1q6TZoOj7ENUgEM33KjOzFHgbNzMrVN9AJOlFwDNAdHj75xHx3NiXahhNusrMB8XhbdtW9hKYmVkCBmkhegC4h879IveStDAiDh/rUg1jtoWoCaGoCd9x3FxmZmY2gEEC0V0RcXQefHbODpS0ICJ+LulySYsi4qn2CSUdAFwbEUdKegWwCdgHuCMiPt423raIeGP++mJgBXBDRJzbc+ma1ELUi1uPJqOsGzN6G7cCuLP+/PiCnnoZJBDNniq7SdIewKHA3wGvB/aLiN/sNJGkJcBlwKJ80HnAORGxXdJVklZHxK35e58D9s6nex+wMCJWSbpE0vKIuL/r0g3ah6juB5Rxfj+HK7NG8AHdbJdBAtGC/H9FxFGSbslbjG7pM91O4Fjg+vz1wcDd+d+PAlMAko4CngIeyd9bDVyd/30zcASwWyCStB5YDzDt+xCN35h/NbrSNTOzqusZiPIWoUfzl9Hl/44iYkf+GbODrgU2SNoOrAHOlLQX8Cng14Dr8vEWAQ/nfz8OHNbhs7cCWwFWLl8edTjg1rnpuqrfrQ7bjVVX63bvbc2s+noGooh4TtIfSdof+LmkrwGvyVuH3jDMjCLiXElHAGcAl0XEk5J+H9gcET9uCU5Pkp8+Axazq4Wq1lxhmtWL92mztPRrIToO+AxwekSsGcP87gGmgQ/kr98OHCXpFOANkj4PfJPsNNl2sv5K941hvmZmZmZd9etDdDPwX4Clkr5Fdj+iVguAvSLiLQPO7wzggoh4GiAi3jr7hqRbI+LDkvYBbpN0ILAWKO+SfjMzM2uEfqfMHgeQ9ChZn52r2kZZQHZaq9dnrG75e0O/8SJih6TVwNHA+REx0+vzzcxs8gbtG+hTh5aKQe5UvR54Fnh/l1HuB/51nAsVEU+w60ozM7PktAeGOgSDUS6QqOpFFYOqw3qzwQxy2f0L8/EWsquz8ywBn5f0hoh4dtwLZ2aZ5A8qZS9ABaS+DqvMocXGoW8giogLASS9LCL+LH+22cqI+Ho+/DEaciWYWVmSr/DLusN3IlJZv1UNdbFmbTJlaNU1zNPu95D0UuCrZI/g+DpARFxbxIINbGqqsjup1U9ZLR2pb+NuIeqt6PU7rrDg0GF1Nkwg+nZE/EDSqoj4aWFLZI1W+Qq3oS0d814vDS23slR+PzKroIECkaR/AX4gaQPwQ0kLgAOBiyLinCIXsEm2bYM147jbU8JS+aU8aakt95wOxSUtR1ONegppdr2ltr2ZjcOgLUT/I3+O2dcj4m0A+d/lh6GZmdrsvGsBtpW9FGbzN2efbHgLUVXrqG4/QFI7RVvV8rW0DBqIDpZ0IbA8/5+Wv8+JiLFedj8U9yFqtKZUhKlv401vIUp9/VXdfMq3KXWI9TdoIDoeeA64guwp9guAK8kuxf9JMYs2oBq1EHXSa0ev8/e23SW/rhveQmTVlWJYTb4+qKiBAlFEfLPoBRlZg1uI6vi9vaNXzzi2sya2EDV5W57vNtPksrPyDHOVWTXVvIXIDIAbbyxt1hrHvDdunP9nWDJcJ1uK0g9EDW4haudKqMbWrSt7CczMai39QOQWIjOrIP9Qs6L52Dde6QcitxBZD/0qjGG3Hd+pejRN7ENUBT5gmg0u/UDkFiKbh6G3nZKulkp+G/dVZqVIPUhbf8nXDRWSfiByC1ESvNOaTc7s/ua6cS7XRdZN+oHILURmVkFVqJeqsAxmqUg/ELmFqNZcoZtZ45V4240mST8QNbSFqGohsInrwMxsIiZx241Nm4qfR8WlH4gaygHErNpGfeL8OOdvVgeSptj1uLCngI8ClwLLgLsi4uQe014MrABuiIhze83HgcgsBak3mTfwKrOyf7SUPX+zMToBuCAibpG0BTgWuCIirpD0RUkrI+LO9okkvQ9YGBGrJF0iaXlE3N9tJukHIvchqgxXwAXynarNrKJmZmDbtnl9xH6SWgPN1ojYOvsiIja3vLc/8APgFyTtCxwEPNTlc1cDV+d/3wwcAdQ4EOV9iFIMRQ4QZpaaFOvauqrRMeSxiFjZbyRJq4AlwOXAZ4DTgO8Cj3eZZBHwcP7348BhvT4//UBUQgtRjTZCM7OhuP6zMkhaCmwEjgE2AB+NiB2STgc+BGztMNmTwN7534uBBb3mkX4gauhVZmZmZk0gaS/gGuDMiHhA0hLgEEnbgTcDX+sy6V1kp8m2A4cC9/WaT/qBaGpq4FGLaklyIDMzMyvMSWSnu86SdBZwE1mL0MuA24EvSVoBHB8RZ7dMdx1wm6QDgbXA4b1mkn4gmpkZeFQHFzMzs7RExBZgS9vg89pe3wu0hiHyU2qrgaOB8yOiZ2BIPxAlcpWZw5iZmdlkRcQT7LrSrKf0A1EiUghtk+aQaGZmVZF+IHKnajMzq5LUb6TaUIUGIkkHANdGxJGSXgFsAvYB7oiIj3e4HfexEfHMMLfaNjMzq5QUb6TqZ5n1viZ/PvLL4i4juzESZB2gzomII4GX5h2dZm/H/Q7gEWBN6622gVdKWl7UMpqZmZlBsS1EO8meN3J9/vpg4O7870eBqQ63434UOJ4+t9qWtB5YDzC9bFkRy25mNi+T7DdYZLeBKvd/dHcJG6fCAlFE7ACQNDvoWmBDfiOlNcCZs2/M3o47IrZL+gh9brWdP+NkK8DK5cujqO9gDTDsuf6yHlKaep8EP9w1WXX5Hmb9TKxTdUScK+kI4Azgsoh4EubcjhuGvNW22bykcq4/leW055XVsuIAYzaaSV9ldg8wDXwA5t6OOx9nqFttp3IforpKpvIdVwtLA1s6bHTJ7B9j4HrYUjfpQHQGWSfqp/PX7bfj3sKQt9q2ciVTCY5pOdV/FGsxu300tdyS2T8arknB1borPBBFxOqWvze0vdfpdtwMc6vtInknmYDU+sZs3Fj2EiTl+X3ILWtWQa7jrVUlb8w4zK22Z2Zg27ailqT6lfiaNWUvwTzN4xe0KzOrMm+fNpBRfxS6X+HYVTIQDWOKGdbS4IqnsDBoZvPh02X1UljAdbCpjOQDkTtV27D8y92qxtukWfnSD0QPPohOO3XXa6fttFW9T5HvQzSaBvYhqnvIacIP0bqvQ9td+oFoepq40B1dx6ESO78DbUcpbeOV2I6scEWt53EHLW+PNqj0A5Gfdm8N4G3cmqJ1Wx9HOKp7S5brhvFJPxC5D1EhvJNVS+rbeBPvQxRr1lZuP0p9O7K5vE7HJ/1A5BYia4Dkt/EG9iECH6zqLPl90uZIPxC5hajyXHGkbRz7VxNbiFLZ7l1/jqbIcktl26mb9AORW4jMCjWW/auhLUST5nBTD16P5Ug/ELmFyCaorJaOKvZHsd5cL5mlJf1A5BYim6SSWjq8jZuZFSv5QDTDFDcN8cyx5J/9VTE+UJsNp+x9ZlItV2V/T7NhJR+Ihn6WmZ/9ZWYTUNVAUNXlMitb8oHIfYgmzxWqWX9NrpdcR1iK0g9E7kNkZhXkesksLekHIrcQJc8HDqujFK4MdH8is13SD0QVaCFqciAru+zNqiqFfSOFZTSblPQDkVuISjXOsnfl3F1R27jL3Mwsk34gqkALkVnRvI2bmRVrQdkLYGZmZla29FuIzMwsSe7uYFWSfiByH6KB+JSL2WS5XjJLS/qBKAEOI2ZmNi4+phTDgWgC/EtxNN7pzczm8jGlGA5EVlll7fRVDGKpV4AqewFK4O3IylDF7S4VDkQJ8gbfPMmv87U+EFdBkdtR3cNW8vug9eVAlBDvkGY2rLoHlUkpshxdt/cmaQq4ElgIPAXcCvxa/va+wP8bEScPMN2xEfFMt/mkH4h8Y0Yzs67qUj/WOdgN893qsj6HdAJwQUTcImkL8M8RsRpA0kbgsgGnWwN8pdtM0g9Evux+jobuMLWW+jbexD5ENl6u16prZgZuvHFeH7GfpDtbXm+NiK2zLyJic8t7+wOPAkj6ReCAiGidln7TdZN+IHILkTVA0dt46oGriqpepk2oN/2sxWQ8FhEr+40kaRWwJCK254NOAbaMMF1HhQYiSQcA10bEkZJeAWwC9gHuiIiP5+NcDKwAboiIc7sNM7PiFF7ZN7BTdSUOoPP82Z46Nfz714mkpcBG4Jj89QLgbcBZw0zXS2GBSNISsvN6i/JB5wHnRMR2SVdJWg0sBRZGxCpJl0haDhzSPiwi7i9qOc2SkHrF3sBAVAnr1pW9BFYFidcfkvYCrgHOjIgH8sFHknWmjiGn66rIFqKdwLHA9fnrg4G7878fBaaA1cDV+bCbgSOAN3YYtlsgkrQeWA8wvWxZIQtvViVx4cayF2Fe3IcobVU//Wd9dFl/u7Vibto0oYUZyUnAYcBZks4iO012KPDN2REkrQCOj4ize00XEVd1m0lhgSgiduQLOTvoWmCDpO1kPb3PBH4VeDh//3GyBV/UYVj7Z28FtgKsXLkyvLN2VokmexuL5NelW4iSlvz2Z0mLiC3M7St0Vds49wJntw3rNF1XE+tUHRHnSjoCOAO4LCKelPQksHc+ymJgAdBpmI3AQXH83NJhZlZPk77K7B5gGvhA/vouslNi28mav+4DftBhWHe+yswmyS0dZlZlifcXKtOkA9EZZDdJejp/fR1wm6QDgbXA4UB0GGYDGLVFyIHSrAA+ME3etm2Tmc+aNZOZj01U4YFo9m6S+d8b2t7bkV9tdjRwfkTMAHQaZv052NRYWQdXX6VkKXFQsXko/caMEfEEu64q6zqsqy53qnY4sFpxMEmP15mlpNpXmU1E6YFo3tyHyMxsOD6dt4uDq+XSD0R+llntOOCaFcwhwGyO9AORW4jMzMxsnpIPRDNMcRPzayFyPzwbVFn3IUq9FdT3bzKzqks+EE0xw1rm2UI0oSs1rQZKug9R8q2gvn+TmVVc8oFoHC1EdeRWr+EkHzjMzGxekg9EU1M++NeVQ4qZmU1K8oHIBuNwYWY9Nf1S/Dpeedf0dTqk9AORrzKzVkVXAO4LY4Pywag6xh12vG5rKf1A5PsQWasxbQsO2TZvnQ7CPpCWw+VuA0g/ELmFyMyqqC4H4TqeSqqCumwfNZJ+IHILUS055FbYKBW5TzWmq9/6dmAazXzKzWGqEOkHIrcQWRO4ArSq8rZpNZF+IDIrWmuF75YOM7NaciAaln8NmZmVw6fnirNpU9lLUDoHomF5h6wvh12z8XA9mQbXebtxIDKb5Urcxmmc21NqB65Ulncc6yiV72p9pR+IfJXZyFLqjF7mOq5EOTmsNduw639SB2lvl77fVI2kH4gSU4mDa4JcbmZDcFCZrHEHoDLWn/sQ1SAQ+bJ766SoX2i+yswsbSm03qSwjDWUfiAy68S/kK1qRj3IeVseL5dnZ24hciCyDvzrpDu3ENmoKnAgdn/LuXyGwWY5ENlcFai4zVLn8FFdDkHWiQORmVmFlXnwrlKom2Q5jPt7O4ClIf1AVKHL7r3RW1Gqso2PSmUvQAnqUB/U4TuMovLf290aCpF+IPJVZtVWtx23pD5EyW/jDex7lXqIbYok960iujW4U3UNAtEYWoiS3CFS4f5I1lCuVxqsbj8EGyL9QOQWomqqa4VQVktH6uXZwBYia7Cq/BBMvd6YsPQDUcF9iBy2RlSVCqEuXJ7pSfVg5G2tPoZZlz5lVoNA9OCD6LRTy14Ka4omtBANWokOs0xuIUpHqkHObJ4KDUSSDgCujYgjJS0BrgCWAXdFxMmdhuXTXQysAG6IiHN7zmR6mrhwY5Ffo3LcatVAVfzVXsVlqhKXj6XELUTFBaI87FwGLMoHfRC4IiKukPRFSSuBt3QYNg0sjIhVki6RtDwi7u86I/chsiZI/Ve7W4jMrOKKbCHaCRwLXJ+//hHwOkn7AgcBD3UZdiJwdT7NzcARwG6BSNJ6YD3A9PS0L2+tOAfWMXBrg1l9pP4Dp6YKC0QRsQNAev6WbN8C3gmcBnwXeLzLsEXAw/k0jwOHdfjsrcBWgJXLl4cPuAZMppJpQh+iIriFyMYl9X3BhiZpCrgSWAg8BRwbEc9I2gzcFBFf7TP9AcC2iHhjr/Em2al6A/DRiNgh6XTgQ8DhHYY9CeydT7MYWNDzUyt0p+qU1SJUzraiuMK0KvB2aDYuJwAXRMQtkrYAayQ9AbykXxjKfY5duaKrSQaiJcAhkrYDbwa+1mXYXWSnybYDhwL39fzU73wHHby8wMW2oa1ZM/q027aNbznMzCx5EbG55eX+wBPARcCNkt4TEdd3nhIkHUXWqvRIv/lMMhB9BrgUeBlwO/Al4O86DFsA3CbpQGAtWStSdwcdBBdeWNxS22S5r0xn69btanFwGZmVY9R9r+athTt2zPu37H6S7mx5vTXvGrMbSavIGlIOBu4FzgdOlTQdEXMuN5e0F/Ap4NeA6/otROGBKCJW5//fAby27e1Ow5C0GjgaOD8iZnrOYGam98ZW1YNHzXeQ2qpCH6IUt50m9iGqat1jk5fCtlDuZfePRcTKXiNIWgpsBI4BziALTY9Iuhz4dP5eu08CmyPixy39mbuq5I0ZI+IJdl1p1luq9yFqcL+nWvRXmrAkt/EWTXzavZmNR97Scw1wZkQ8IOl7wCvzt1cCD3SZ9O3AUZJOAd4g6fMR8eFu86lkIBqK70NUb5NqDan4L7jk78a+Me1AN5IUW/LKVvH90EpzEtkV52dJOousq827JB0H7Am8X9IK4PiIOHt2ooh46+zfkm7tFYagDoHIV5kNJbnw6Aoy43JIj9eZ2VhExBZgS9vgy9pePwycTRez3Xd6ST8QuYXIzMzM5in9QOQWoolzADWzRvPp0FpKPxC5hcjMzCap6NOhDlylSD8QuYWokRyCrfJSOKi5n1M1+a77pUg/ELmFyGyXqlagTbwPUQqqur2YlaAWgWjknbqOv45cwRWrCjdmNJuPKtV73q6tQtIPRPPhndHM6mLcQcf1ozVM+oFoaqpav3isP1e01gRVqJe8r5kNLP1AZOmpwoECfLCw+qvKvlYE7782Zg5ENpcrGrM0eF81G5v0A9F8OlWb1VmdWwcsU8d17PrcSpJ+ILJm2rat7CWoviodWJp42X2Vyr8qvN9ahTkQWZrWrCl7Ccx6a2+9cUDyfjtpDqBDcSAyM5uETqe3xhmS6nj6bByaHESHCaCbNhW3HIlIPxCleNl9k3dQG01q27gNJoH1WsSjkSb6dIEEyrgSHIhqEIjcqbp4bnY1ayw/GsmaIv1AlGILUWpSKV8HY6sLb8tmE5d+IHILURpSa2Vy508rUyo/QjpxfZxJbR36lFkNAtF8pLbBFmUSFZgDhll9OQTN1VomkzrWeD3MS7MDkTee+kutZaqb1LfVJt6HaFbq666b1oO8f1xWwyjroa7b5wjqGYi8czZLrx26Ji1TceHGshdhXlT2ApSpbvXR7P7mA6nVTPqByJ2qrej1X4GKX6edWvYizM/GtAOdtXB9W0/uQ1SPQFTEfTKG5UtTa6wKB4AqLINVTwXCulldpB+IZmYcRiatyZVwWX1hii5zB640eb3ZuLiFqAaBqIsqtBrV1pq1DqGT5gOfmVmh0g9EXe5DpEF/UftAY2YF8I8ymy//8Jys9APR9HTyV+CMwjuKmZXN9ZDVSfqByH2IzKyCXC+ZpaXQQCTpAODaiDhS0hLgCmAZcFdEnNwy3mbgpoj4av76YmAFcENEnFvkMpalCs3prrDNzMwyhQWiPABdBizKB30QuCIirpD0RUkrI+JOSUcCL2kJQ+8DFkbEKkmXSFoeEfd3nVGizzIbuI+TVUtdrzIrWpPvVG1mSSiyhWgncCxwff76R8DrJO0LHAQ8JGlP4CLgRknviYjrgdXA1fk0NwNHALsFIknrgfUA04sXD79k7kjdbCmGC2+zZtZPinVbhRQWiCJiB4D0/E37vwW8EzgN+C7wOHAicC9wPnCqpGmyFqWH82keBw7r8Nlbga0AK5cvDx8sEuOddnipl1kTW4hSX2dmDTPJTtUbgI9GxA5JpwMfAl4PbI2IRyRdDnwaeAjYO59mMbCgqAVq7cfj/jRDcEU/eQ796fE6s5T4xowTDURLgEMkbQfeDHwN+B7wyvz9lcADwN+SnSbbDhwK3FfUAjkEjcgVvZmZ1cwkA9FngEuBlwG3A18iewj2JZKOA/YE3g/8BLhN0oHAWuDwnp9akWeZVY3DXr2kuI17G5wwt9xmqvSDzeskKYUHoohYnf9/B/DaDqP8evsASauBo4HzI2Km5wwefHDuk8CrtENYNYyrYiqpL4zDhfXVhHpvkP3YIcRGVMkbM0bEE+y60qy3qalmVARN5IptdymXhztV23zM1vF1quuH2T4m8b3dh6iagWgoid6HqKMq7ex1KdO68PqwJqhSHVi0Jn3XRKQfiHrxBrc7H1TT5W05PV5nzeB6tTbqHYh6bahNqay8s9ZDv/VY1e35xhuru2xF875nNhaSpoArgYXAU2Q3ff4e8E/5KKdGxLd7TL/b48G6ST8QuQ9Rb3UsGx9o5qpymdx4YzP7EG3bVvYSpGHNmrKXwKrvBOCCiLhF0hbgk8CXIuIT/SZsfzxYL+kHovY+RHUMALY7r2NLgQ/0ZmMREZtbXu5PdgPnd0l6G/Bt4OSIeK59ui6PB+tKETHGxZ48ST+hwJs31th+wGNlL0SCXG6jcbkNz2U2GpfbaF4dES8aZUJJ28jKfVQvBH7a8npr/oiu9vmsAs4layH6QUT8UNJfANdGxFc6jH8S2SPD/j1wKvBIRGzsthDptxDBfRGxsuyFSI2kO11uw3O5jcblNjyX2WhcbqORdOeo00ZE4c2hkpYCG4FjyILNz/K37gSWd5nsjcx9PFjXQFTYc8LMzMzM5kvSXsA1wJkR8QDwBUmHSloIvBf4uy6Tdno8WFcORGZmZlZlJwGHAWdJuhX4B+ALwD3A7RHxNUkrJJ3bNt3FwNskfZPstNnnes2kDqfM5pxntIG43EbjchuNy214LrPRuNxGU9lyi4gtwJa2wf9n2zj3Ame3DfsJHR4P1k3ynarNzMzM5sunzMzMzKzxHIjMzKwWJC2VdLSk+VwCbg2VVCCStETSjZLulPRn+bCLJd0u6ex+0zeVpFdIukHSbZL+OB/mcutB0gGSbmt5Pae8XIZzdSi33V7nw1xubVrLSdKUpJsk3Szpy/kVNi63DtrKbQnwl8CbgK9L2j8f7nJr0WWfPEDS37a8bmSZJRWIgA8CV+T3mHiRpP8ELIyIVcArJXW7F0HTnQecExFHAi+V9D5cbl3lFetlwKL89ZzychnO1aHcdnudD3O5telQTrOPKXgH8AiwxuU2V4dyez1wekR8Gvgr4DCX2+467ZO5zwF75+M0tsxSC0Q/Al4naV/gIOAVwNX5ezcDR5S0XFV3MHB3/vejwB/jcutlJ9nDA3fkr1czt7w6DWu69nJrfw0ut052K6eI2BwRt+Tv7U+2z67G5dauvdy+ERHbJb2VrJXodlxu7ebsk5KOIntg6iP5oNU0tMxSC0TfAl4GnAZ8F9gLeDh/73HggJKWq+quBTZIejewBvhrXG5dRcSOiJhpGbSIueXVaVijtZdbh3IEl9scXcpp9jEFSyJiOy63OTqVmySRHfCfAJ7F5bab9jLLT8d+iuxRGLMaW2apBaINwEcj4g+B/wEcT97MBywmve8zERFxLnAT8GGy5tIncbkNo1N5uQxH43IbQMtjCv5dPsjlNoDInAL8PfCruNz6+SSwOSJ+3DKssWWW2hddAhyS3677zcBn2dWcdyjw/ZKWKwX3ANPABcBduNyG0am8XIajcbn10eExBeBy60vSJySdmL/cF/gxLrd+3g6ckt/9+Q2SPk+Dyyy1O1V/BriU7LTZ7cD/Bdwm6UBgLXB4ictWdWeQddR8WtJ1uNyGcR1zyys6DLP+rsPl1k/rYwrOIrtD73W43PrZClwt6cPAd8j6v7wIl1tXEfHW2b8l3RoRH5a0Dw0ts+TvVJ33mj8a+GZEPNJvfMu43IbTqbxchqNxuY3G5TYal9vwmlpmyQciMzMzs/lKrQ+RmZmZ2dg5EJmZmVnjORCZ2cTNPo7CzKwqHIjMbN4kHSdpL0l7SupZr0h6Ndkzp2Zfp3a1q5nVkDtVm9m85AHnnIj4DUmnAe8kuy3BocCJEXGLpEvIHrXzVOukZD/KfhYR753wYpuZ7cYtRGY2X6cAJ0v6LHBrRPwK8KfAF1qeyfVcPt6pwI8i4l1k9xG7i+xRC2ZmpXILkZmNTNJ7yZ6U/TPgb4D/AHwM+GeyFiHIbqi6GXiI7A64ryZ72PB++b/7I+Ldk1xuM7N2DkRmNi+S9gUuAn6L7NEwmyLi2/l7JwL/E/gd4HeBFwIXA18HDgT+KSI+N/mlNjPbnU+ZmdnI8jvafpns6dh/StZKdKGkf5H0LeDd+dPap4CXkz1e4WfASrJA9MvuVG1mVeCKyMzmI8iuGLsb+HZEPAZ8XtKfA38QEd/Px1scEdslvRv4KvDbwInAdyPiuckvtpnZ7txCZGbz8SJgBng38AVJL28fQdIKshYkIuJnwEaylqRDgBsntqRmZj24D5GZjUzSq4DjgVvJQs/ngaeB1wDfB3YCXwT+ETgBWAr8E9lptpXA28hOnf1+RPzXyS69mdkuDkRmZmbWeD5lZmZmZo3nQGRmZmaN50BkZmZmjedAZGZmZo3nQGRmZmaN9/8De9Au2Q4nNs8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用sst.mnmean.nc画出赤道地区80E－140E的海温随时间变化的二维填色图（注时间一维，经度变化一维）。\n",
    "ds =xr.open_dataset('../../data/sst.mnmean.nc')\n",
    "sst=ds['sst'].loc[:,0,80:140]\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1,1)\n",
    "colorbar=ax.contourf(sst['lon'].data,sst['time'][:].data,sst.data,cmap='bwr')\n",
    "plt.colorbar(colorbar, extendrect='True', pad=0.03, fraction=0.04, shrink=1)\n",
    "ax.set_xlabel('经度')\n",
    "ax.set_ylabel('时间')\n",
    "fig.suptitle('经度-时间二维填色图')\n",
    "fig.savefig('../../picture/Pythonhome/8/二维填色图.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用quiver画出“气象数据中”ERA5_uv_202111.nc的矢量图，注意调整好矢量的在图上的分布密度。\n",
    "ds =xr.open_dataset('../../data/ERA5_uv_202111.nc')\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1, 1,subplot_kw={'projection':ccrs.PlateCarree()})\n",
    "ax.coastlines('50m')\n",
    "lat=ds['latitude'].data\n",
    "lon=ds['longitude'].data\n",
    "lons,lats=np.meshgrid(lon,lat)\n",
    "ax.quiver(lons[::50,::50],lats[::50,::50],ds['u10'].loc['2021-11-01',::50,::50].data,ds['v10'].loc['2021-11-01',::50,::50].data,color='r')\n",
    "# 标注坐标轴\n",
    "ax.set_xticks(np.arange(-180, 180 + 20, 20), crs=ccrs.PlateCarree())\n",
    "ax.set_yticks(np.arange(-90, 90 + 30, 30), crs=ccrs.PlateCarree())\n",
    "# 经纬度格式，把0经度设置不加E和W\n",
    "lon_formatter = LongitudeFormatter(zero_direction_label=False)\n",
    "lat_formatter = LatitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "fig.suptitle('矢量图')\n",
    "fig.savefig('../../picture/Pythonhome/8/矢量图.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
